network-ls
Lists Docker networks with structured driver and scope information.
This record as markdown: /tools/io-github-dave-london-npm/network-ls.md
What network-ls does on Npm
AI agents call network-ls to retrieve information from Npm without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why network-ls is rated Low
This tool performs a read-only operation that queries and returns information about Docker networks. It has no side effects, does not modify infrastructure, and simply provides visibility into existing network configurations. The 'ls' (list) operation is a classic read pattern.
From the tool's definition Tool name 'network-ls' and description 'Lists Docker networks with structured driver and scope information' indicate a listing/query operation that retrieves network configuration data without modification.
Attacks that exploit this kind of access
The rule that runs network-ls safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Npm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For network-ls, this is the rule to start with:
network-ls is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Npm, apply this rule, and every network-ls call is checked against it from then on.
Questions about network-ls
Lists Docker networks with structured driver and scope information. It is categorised as a Read tool in the Npm MCP Server, which means it retrieves data without modifying state.
Register the Npm MCP server in PolicyLayer and add a rule for network-ls: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Npm. Nothing to install.
network-ls is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the network-ls rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for network-ls. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
network-ls is provided by the Npm MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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